Détail de l'auteur
Auteur Roderik Lindenbergh |
Documents disponibles écrits par cet auteur (5)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesRobust approach for urban road surface extraction using mobile laser scanning 3D point clouds / Abdul Nurunnabi (2022)
Titre : Robust approach for urban road surface extraction using mobile laser scanning 3D point clouds Type de document : Article/Communication Auteurs : Abdul Nurunnabi, Auteur ; Felix Norman Teferle, Auteur ; Roderik Lindenbergh, Auteur ; J. Li, Auteur ; Sisi Zlatanova, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2022 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 43-B1 Conférence : ISPRS 2022, Commission 1, 24th ISPRS international congress, Imaging today, foreseeing tomorrow 06/06/2022 11/06/2022 Nice France OA ISPRS Archives Importance : pp 59 - 66 Note générale : bibliographie
This study is supported by the Project 2019-05-030-24, SOLSTICE - Programme Fonds Européen de Développment Régional (FEDER)/Ministère de l’Economie of the G. D. of LuxembourgLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de couche
[Termes IGN] méthode robuste
[Termes IGN] navigation autonome
[Termes IGN] régression
[Termes IGN] réseau routier
[Termes IGN] sécurité routière
[Termes IGN] semis de points
[Termes IGN] véhicule sans piloteRésumé : (auteur) Road surface extraction is crucial for 3D city analysis. Mobile laser scanning (MLS) is the most appropriate data acquisition system for the road environment because of its efficient vehicle-based on-road scanning opportunity. Many methods are available for road pavement, curb and roadside way extraction. Most of them use classical approaches that do not mitigate problems caused by the presence of noise and outliers. In practice, however, laser scanning point clouds are not free from noise and outliers, and it is apparent that the presence of a very small portion of outliers and noise can produce unreliable and non-robust results. A road surface usually consists of three key parts: road pavement, curb and roadside way. This paper investigates the problem of road surface extraction in the presence of noise and outliers, and proposes a robust algorithm for road pavement, curb, road divider/islands, and roadside way extraction using MLS point clouds. The proposed algorithm employs robust statistical approaches to remove the consequences of the presence of noise and outliers. It consists of five sequential steps for road ground and non-ground surface separation, and road related components determination. Demonstration on two different MLS data sets shows that the new algorithm is efficient for road surface extraction and for classifying road pavement, curb, road divider/island and roadside way. The success can be rated in one experiment in this paper, where we extract curb points; the results achieve 97.28%, 100% and 0.986 of precision, recall and Matthews correlation coefficient, respectively. Numéro de notice : C2022-019 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLIII-B1-2022-59-2022 Date de publication en ligne : 30/05/2022 En ligne : http://dx.doi.org/10.5194/isprs-archives-XLIII-B1-2022-59-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100845
Titre : Scalable individual tree delineation in 3D point clouds Type de document : Article/Communication Auteurs : Jinhu Wang, Auteur ; Roderik Lindenbergh, Auteur ; Massimo Menenti, Auteur Année de publication : 2018 Article en page(s) : pp 315 - 340 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse de groupement
[Termes IGN] arbre (flore)
[Termes IGN] délimitation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inventaire de la végétation
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] lasergrammétrie
[Termes IGN] semis de points
[Vedettes matières IGN] Inventaire forestierRésumé : (Auteur) Manually monitoring and documenting trees is labour intensive. Lidar provides a possible solution for automatic tree‐inventory generation. Existing approaches for segmenting trees from original point cloud data lack scalable and efficient methods that separate individual trees sampled by different laser‐scanning systems with sufficient quality under all circumstances. In this study a new algorithm for efficient individual tree delineation from lidar point clouds is presented and validated. The proposed algorithm first resamples the points using cuboid (modified voxel) cells. Consecutively connected cells are accumulated by vertically traversing cell layers. Trees in close proximity are identified, based on a novel cell‐adjacency analysis. The scalable performance of this algorithm is validated on airborne, mobile and terrestrial laser‐scanning point clouds. Validation against ground truth demonstrates an improvement from 89% to 94% relative to a state‐of‐the‐art method while computation time is similar. Numéro de notice : A2018-619 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12247 Date de publication en ligne : 16/07/2018 En ligne : https://doi.org/10.1111/phor.12247 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92863
in Photogrammetric record > vol 33 n° 163 (September 2018) . - pp 315 - 340[article]vol II-5 W2 - November 2013 - [actes] ISPRS Workshop Laser Scanning 2013, 11–13 November 2013, Antalya, Turkey (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Marco Scaioni
Contient
- Registration of terrestrial mobile laser data on 2D or 3D geographic database by use of a non-rigid ICP approach / Fabrice Monnier in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)
- Facade reconstruction with generalized 2.5D grids / Jérôme Demantké in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)
- Feature relevance assessment for the semantic interpretation of 3D point cloud data / Martin Weinmann in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)
- Change Detection in 3D Point Clouds Acquired by a Mobile Mapping System / Wen Xiao in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)
Titre : Aeolian beach sand transport monitored by terrestrial laser scanning Type de document : Article/Communication Auteurs : Roderik Lindenbergh, Auteur ; S. Soudarissanane, Auteur ; S. de Vries, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 384 - 399 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] érosion éolienne
[Termes IGN] géomorphologie
[Termes IGN] lasergrammétrie
[Termes IGN] littoral
[Termes IGN] Pays-Bas
[Termes IGN] sable
[Termes IGN] surveillance géologique
[Termes IGN] transport éolienRésumé : (Auteur) Morphodynamic changes at sandy coasts, as are dominant in the Netherlands, are typically monitored at yearly intervals by means of airborne laser scanning. Meanwhile it is recognised that beach morphodynamics is not a regular process and is strongly correlated to meteorological conditions. A series of 25 terrestrial laser scans of a beach experiment is analysed, obtained during a time period of 88 hours, characterised by changing weather conditions including strong wind and rain. It is shown that after a conversion to a cylindrical grid, different deformation regimes can be identified and rates of elevation changes below 1 mm per hour can be detected. Simultaneously, an analysis of distances between targets through time demonstrates the sensitivity of the used measurement set-up to the harsh weather conditions. Numéro de notice : A2011-493 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00659.x En ligne : http://dx.doi.org/10.1111/j.1477-9730.2011.00659.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31387
in Photogrammetric record > vol 26 n° 136 (December 2011 - February 2012) . - pp 384 - 399[article]
Titre : Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points Type de document : Article/Communication Auteurs : S. Soudarissanane, Auteur ; Roderik Lindenbergh, Auteur ; Massimo Menenti, Auteur ; Peter J.G. Teunissen, Auteur Année de publication : 2011 Article en page(s) : pp 389 - 399 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] angle de visée
[Termes IGN] balayage laser
[Termes IGN] bruit atmosphérique
[Termes IGN] mesurage électronique de distances
[Termes IGN] réflectance de surface
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) A terrestrial laser scanner measures the distance to an object surface with a precision in the order of millimeters. The quality of the individual points in a point cloud, although directly affecting standard processing steps like point cloud registration and segmentation, is still not well understood. The quality of a scan point is influenced by four major factors: instrument mechanism, atmospheric conditions, object surface properties and scan geometry. In this paper, the influence of the scan geometry on the individual point precision or local measurement noise is considered. The local scan geometry depends on the distance and the orientation of the scanned surface, relative to the position of the scanner. The local scan geometry is parameterized by two main parameters, the range, i.e. the distance from the object to the scanner and the incidence angle, i.e. the angle between incoming laser beam and the local surface normal. In this paper, it is shown that by studying the influence of the local scan geometry on the signal to noise ratio, the dependence of the measurement noise on range and incidence angle can be successfully modeled if planar surfaces are observed. The implications of this model is demonstrated further by comparing two point clouds of a small room, obtained from two different scanner positions: a center position and a corner position. The influence of incidence angle on the noise level is quantified on scans of this room, and by moving the scanner by 2 m, it is reduced by 20%. The improvement of the standard deviation is significant, going from 3.23 to 2.55 mm. It is possible to optimize measurement setups in such a way that the measurement noise due to bad scanning geometry is minimized and therefore contribute to a more efficient acquisition of point clouds of better quality. Numéro de notice : A2011-296 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.01.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.01.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31075
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 4 (July - August 2011) . - pp 389 - 399[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2011041 SL Revue Centre de documentation Revues en salle Disponible
